2023
DOI: 10.1007/s11334-022-00523-w
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An efficient Apriori algorithm for frequent pattern in human intoxication data

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Cited by 8 publications
(7 citation statements)
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“…The primary strength of deep recurrent neural network (RNN) model 43‐45 for BC prediction using the Keras–Tuner optimization technique. This study evaluates the optimized deep RNN (Figure 5) with five common ML methods: DT, SVM, RF, NB, and K ‐NN 46 .…”
Section: Discussionmentioning
confidence: 99%
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“…The primary strength of deep recurrent neural network (RNN) model 43‐45 for BC prediction using the Keras–Tuner optimization technique. This study evaluates the optimized deep RNN (Figure 5) with five common ML methods: DT, SVM, RF, NB, and K ‐NN 46 .…”
Section: Discussionmentioning
confidence: 99%
“… An SVM is a classifier that splits the data sets into classes to locate a maximum marginal hyperplane (MMH) by utilizing the data points that are the closest together 23 LR model is an effective modeling technique 43,45 . It uses risk factors to calculate the risk of getting a disease or other health concerns (covariates).…”
Section: Discussionmentioning
confidence: 99%
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“…Apriori is an algorithm for frequent item set mining and association rule learning over relational databases [43], [44].…”
Section: Model Evaluation By Comparison or Practical Applicationmentioning
confidence: 99%